Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach

• Published in: The International journal of health planning and management Vol. 37; no. 1; pp. 318 - 351
• Main Authors: Desingh, Videsh, R, Baskaran
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.01.2022
• Subjects: adoption barriers; Barriers; Brainstorms; Clinical standards; Delivery of Health Care; Developing countries; fuzzy MICMAC; Health care; Health Facilities; Humans; India; Indian healthcare; Infrastructure; Internet; Internet of Things; interpretive structural modeling (ISM); LDCs; Literature reviews; Organizations; Patients; Supply; Supply chains; Universal Product Code; India; adoption barriers; interpretive structural modeling (ISM); Indian healthcare; internet of things; fuzzy MICMAC
• ISSN: 0749-6753; 1099-1751
• DOI: 10.1002/hpm.3331

Internet of things (IoT) plays a significant role in offering a wide range of benefits to the healthcare supply chain. It improves the quality of patient care, reduces the cost of medical procedures, maintaining flawless operations and supports clinical decisions. Despite strong policy interest and vast potential benefits of IoT in the healthcare supply chain, the actual adoption rate is relatively low and it's in the nascent stage in developing countries like India. The objective of this paper is to identify and analyze the potential barriers which would restrain the healthcare industry from adopting IoT. Based on the review of the literature and brainstorming with experts from industry and academia, 14 barriers were identified for IoT adoption. The contextual relationship between the identified barriers was developed using interpretive structural modeling and the obtained results were used as input to fuzzy MICMAC analysis to determine the driving and dependence power of the IoT adoption barriers. From the result, Legal and regulatory standards, Lack of IT Infrastructure are major barriers influencing the adoption of IoT in the healthcare supply chain. The findings will support the decision‐makers to understand the contextual relationship between the IoT adoption barriers in the Indian healthcare supply chain.